AIM, A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems, Bioinformatics, btad155, https://doi.org/10.1093/bioinformatics/btad155
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Updated
Apr 12, 2023 - C
AIM, A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems, Bioinformatics, btad155, https://doi.org/10.1093/bioinformatics/btad155
UpPipe is an RNA abundance quantification design on a real processing-near-memory system (UPMEM DPU); the paper of this project is published in Design Automation Conference (DAC) 2023
Running state-of-the-art RNA-seq abundance quantification software "kallisto" on UPMEM DPU system
Processing-In-Memory acceleration of Breadth-First Search on DPUs.
Code for distributed inference of WNN on the UPMEM PiM System
implementation of sort-merge join algorithm using UPMEM-PIM
Implementation of WNNs on the UPMEM PiM system. This implementation is optimizing for MRAM utilization.
A reference implementation of Matrix Multiplication algorithms for ML on UPMEM PIM - a processing-in-memory platform
Distributed Training on the UPMEM PiM system
Master's thesis research artifact for exact tensor-network quantum-circuit simulation on UPMEM Processing-in-Memory hardware.
Multilayer perceptron in pure C enhanced with UPMEM PIM-based training
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